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//
// This confidential and proprietary software may be used only as
// authorised by a licensing agreement from ARM Limited
// (C) COPYRIGHT 2020-2024 ARM Limited
// ALL RIGHTS RESERVED
// The entire notice above must be reproduced on all authorised
// copies and copies may only be made to the extent permitted
// by a licensing agreement from ARM Limited.
ERROR_IF(shape != broadcast_shape(shape1, shape2));
for_each(index in shape) {
shape_t index1 = apply_broadcast(shape, shape1, index);
shape_t index2 = apply_broadcast(shape, shape2, index);
in_out_t value1 = tensor_read<in_out_t>(input1, shape1, index1);
in_out_t value2 = tensor_read<in_out_t>(input2, shape2, index2);
// Ensure that shift amount is appropriate for the data type
REQUIRE((in_out_t == i32_t && 0 <= value2 && value2 <= 31) ||
(in_out_t == i16_t && 0 <= value2 && value2 <= 15) ||
(in_out_t == i8_t && 0 <= value2 && value2 <= 7));
in_out_t result = apply_arith_rshift<in_out_t>(value1, value2);
if (round == true && static_cast<int32_t>(value2) > 0 &&
(apply_arith_rshift<in_out_t>(value1, apply_sub_s<in_out_t>(value2, 1)) & 1 != 0)) {
result = result + 1;
}
result = apply_clip_s<in_out_t>(result, minimum_s<in_out_t>, maximum_s<in_out_t>);
tensor_write<in_out_t>(output, shape, index, result);
}
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